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1,251 to 1,260 of 2,586 Results
10732_qu_de_v1_0.pdf
10732_qu_de_v1_0.pdf
Dec 18, 2020 - Microcensus Ad-Hoc-Module "Work organisation and working time arrangements" 2019 (SUF edition)
Adobe PDF - 202.1 KB - MD5: 12f1223c3b6d948012e5519fdca494d3
DocumentationQuestionnaire
Questionnaire
10732_vi_de_v1_0.tab
Dec 18, 2020 - Microcensus Ad-Hoc-Module "Work organisation and working time arrangements" 2019 (SUF edition)
Tabular Data - 207.4 KB - 3 Variables, 3574 Observations - UNF:6:j/W5uEHhT6098u531FJiWw==
Documentation
Variable identifiers and descriptions - machine-readable
10724_co_en_v1_0.pdf
10724_co_en_v1_0.pdf
Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)
Adobe PDF - 307.6 KB - MD5: 13a8234eba6443709a0ef21f8213d071
CodebookDocumentation
Codebook
10724_mr_en_v1_0.pdf
10724_mr_en_v1_0.pdf
Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)
Adobe PDF - 774.1 KB - MD5: b813de2b5968c827a30c4f8d54779ae8
DocumentationMethod report
Method report
10724_vi_en_v1_0.tab
Dec 17, 2020 - AUTNES Content Analysis of Party Manifestos: Cumulative File (SUF edition)
Tabular Data - 445.1 KB - 3 Variables, 11911 Observations - UNF:6:yjFhsObnuv4OUh7FcwKMng==
Documentation
Variable identifiers and descriptions - machine-readable
10667_da_en_v1_0.Rdata
Dec 11, 2020 - Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys
Gzip Archive - 24.5 KB - MD5: 40c113ce9d2b95f7942b743f1da113bf
DataR
Core data file - R format
10667_sx_en_v1_0.R
Dec 11, 2020 - Replication Data for: Text Message (SMS) Pre-notifications, Invitations and Reminders for Web Surveys
R Syntax - 13.6 KB - MD5: 79be238885f3456aef54585a90ab77bb
CodeDocumentation
R code for replication
10274_mr_en_v1_0.pdf
10274_mr_en_v1_0.pdf
Dec 2, 2020 - The German Political Sentiment Dictionary (SUF edition)
Adobe PDF - 62.9 KB - MD5: 050d20c9d45e62745c30f748be8cb9ed
DocumentationMethod report
Method report
10273_mr_en_v1_0.pdf
10273_mr_en_v1_0.pdf
Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)
Adobe PDF - 84.7 KB - MD5: 956d09f91536890f37733442f4b5a62f
DocumentationMethod report
Method report
10273_vi_de_v1_0.tab
Nov 26, 2020 - Training Data for German Sentiment Analysis of Political Communication (SUF edition)
Tabular Data - 448 B - 3 Variables, 13 Observations - UNF:6:Ze7yJiIAaxcdxsnaJ9Kesg==
Documentation
Variable identifiers and descriptions - machine-readable
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